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Slides: URL
GitHub: URL
Access the virtual environment:
URL: URL
Master password: PASSWORD
URL
Password: PASSWORD
Background in Astrophysics.
Data Scientist @ Jumping Rivers:
Python & R support for various clients.
Teach courses in Python, R, SQL, Machine Learning.
Hobbies include hiking and travelling.
↗ jumpingrivers.com 𝕏 @jumping_uk
The typical data science workflow:
MLOps: Machine Learning Operations
Open task1.txt
Adjust the validation code with the correct column types
Run the code, passing in the lemur.csv data
Not an R user? The solution can be found in task1_solutions.R
You have just built a data validation pipeline!
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Open task2.txt
Run your solution to task 1 to prepare the data
Pass this into the train() function
Run assess() with the unseen test data to score the model
Save these metrics along with the model in an RDS file
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Open task3.txt
Upload your RDS file to the cloud
Obtain your model endpoint URL
Make a prediction using a GET request
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Deployment is just the beginning…
Open task4.txt
The lemurs_new.csv contains the latest version of data
Run your predicti
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